Technical Architecture
AI-powered discovery engine processing millions of signals to surface perfect business matches in real-time
Signal Processing Pipeline
Real-time ingestion and analysis at scale
Ingestion
Continuous monitoring of public APIs, review platforms, and regulatory databases
Normalization
Data cleaning, deduplication, and standardization across heterogeneous sources
Feature Engineering
Time-series analysis, anomaly detection, and composite metric calculation
Scoring
Multi-model ensemble with explainable AI for distress probability
System Architecture
Distributed, resilient, and infinitely scalable
Frontend
Responsive, performant UI with real-time updates
API Layer
Scalable endpoints with sub-50ms response times
Processing
Distributed job processing with fault tolerance
Data
Multi-model storage optimized for time-series
AI/ML
Ensemble models with explainable outputs
Intelligent Matching
Multi-dimensional optimization with constraints
Buyer Profile
Matched Businesses
function matchScore(buyer: BuyerProfile, business: Business): number {
const weights = {
experience: 0.30,
capital: 0.25,
location: 0.20,
industry: 0.15,
timing: 0.10
};
const scores = {
experience: cosineSimilarity(buyer.exp_vector, business.req_vector),
capital: capitalAlignment(buyer.range, business.price),
location: 1 / (1 + distance(buyer.location, business.location)),
industry: buyer.industries.includes(business.type) ? 1 : 0.5,
timing: urgencyFactor(business.distress_score)
};
return Object.entries(weights).reduce((acc, [key, weight]) =>
acc + scores[key] * weight, 0
);
}Built for Scale, Designed for Impact
Join us in building the future of small business acquisition